def __init__(self, env, cache, amount, z, rate):
self.env = env
self.cache = cache
self.rate = rate
self.content = [i for i in range(1, amount + 1)]
self.popularity = [
Zipf(amount, z).popularity()[i] for i in range(1, amount)
]
}
font2 = {
'family': 'Arial',
'size': 15,
}
amount = 5000
z = 0.8
cachesize = 100
total_rate = 20
expected_value = 20
N=20
simulation_time = 50000
# random.seed(42)
zipf = Zipf(amount, z)
# pattern = "reactive"
# pattern = "proactive_remove"
# pattern = "proactive_renew"
pattern = "proactive_optional_renew"
# distribution = "constant"
# distribution = "uniform"
distribution = "exponential"
popularity_dict = zipf.popularity()
content = [i for i in range(1, amount + 1)]
popularity = [popularity_dict[i] for i in range(1, amount)]
index = []
miss_merge = {}
for i in range(1, amount + 1):
temp = 0.0
for j in range(len(misses)):
temp = temp + misses[j][i]
miss_merge[i] = temp
return miss_merge
if __name__ == "__main__":
content_amount = 1000
cache_size = 100
request_rate = 10.0
staleness_time = 120
z = 0.8 # zipf parameter
zipf = Zipf(content_amount, z)
p_dict = zipf.popularity() # popularity of the contents
nodes = 11
simulation_data = [[] for i in range(nodes)]
model_data = [[] for i in range(nodes)]
f = open("./src/abilene/hitratio-staleness-simulation.txt", "r")
lines = f.readlines()
i = 0
for line in lines:
items = line.split('\t')
for item in items:
simulation_data[i].append(float(item))
i = i + 1
def F1(self, t):
return (1 - exp(-self._rate * t)) / self._Ts
def F2(self, t):
return (1 - exp(-self._rate * t)) / self._Tc
if __name__ == "__main__":
amount = 100
z = 0.8
cachesize = 10
total_rate = 5
expeted_value = 2
zipf = Zipf(amount, z)
popularity = zipf.popularity()
# che = Che(amount, cachesize, popularity, total_rate)
# print(total_rate*popularity[1], total_rate*popularity[2])
# Tc = che.T
# print("Tc: ", Tc)
reactive = ReactiveUniform(amount, cachesize, total_rate, expeted_value,
popularity)
hit_ratio = reactive.hitRatio()
total_hit_ratio = reactive.totalHitRatio()
print("Tc: ", reactive.Che().T)
print("total hit ratio: ", total_hit_ratio)
import matplotlib.pyplot as plt
import math
import random
from mcav.zipf import Zipf
from che import Che
if __name__ == "__main__":
amount = 50
z = 0.8
cachesize = 60
total_rate = 20
Ts = 4
simulation_time = 10000
# random.seed(42)
zipf = Zipf(amount, z)
popularity_dict = zipf.popularity()
content = [i for i in range(1, amount + 1)]
popularity = [popularity_dict[i] for i in range(1, amount)]
che = Che(amount, cachesize, zipf.popularity(), total_rate)
result = []
index = []
for i in range(1, 50+1):
result.append(che.hitRatio()[i])
index.append(i)
plt.plot(index,result)
plt.show()
